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Posts Tagged
‘hadoop’

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In the first part of this blog series I described a few challenges that I had to face to quickly implement a simple Hive query and schedule it periodically on the Hadoop cluster. These challenges include data cataloguing, data discovery, data lineage and process scheduling. I also explained how they can be addressed using existing […]

This blog series is based on the talk “Simplified Data Management and Process Scheduling in Hadoop” that we gave at Big Data Technical Conference in Poland in February 2015. Because the talk was very well received by the audience, we decided to convert it into blog series. In the first part we describe possible open-source […]

We share our slides about Apache Tez delivered by our consultant as a lightening talk given at Warsaw Hadoop User Group. Tez is a highly efficient and scaleable execution engine that can be easily leveraged by existing tools like Hive, Pig or Cascading to run the computation faster. In this talk, we describe Tez and […]

We are happy to share slides about HCatalog that come from Data Analyst Training delivered by GetInData. HCatalog allows users with different data processing tools (such as Apache Hive, Apache Pig, MapReduce) to share data on the Hadoop cluster in an easier way. The slides cover HCatalog’s primary motivation, goals, the most important features, currently […]

We are happy to say that our Refcardz, titled Getting Started with Apache Hadoop, has been already published by DZone. This Refcard presents Apache Hadoop, a software framework that enables distributed storage and processing of large datasets using simple high-level programming models. The card covers the most important concepts of Hadoop, describes its architecture, and […]

We would like to recommend to read Agile migration of a single-node cluster from MapReduce Version 1 to YARN written by our consultant for IBM developerWorks. Please find the abstract of the article below: Although Hadoop vendors such as Cloudera and Hortonworks provide excellent and detailed documentation for installing YARN, they follow an all-or-nothing approach. […]

Jun 06, 2014

Adam Kawa

hadoop, yarn

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We would like to recommend to read “Introduction To YARN” written by our consultant for IBM developerWorks. Please find the abstract of the article below: Apache Hadoop is currently one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is […]

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